Bots are responsible for a range of online problems, from spam to phishing to denial-of-service attacks. While some bots are legitimate (such as search engine web crawlers, responsive chatbots and customer service automation tools), most are malicious and can cause significant financial loss for businesses, such as refunds, chargebacks, diminished stock value and damage to brand reputation.

While it is how to identify bots and malware connections bots and malware connections using various methods, many of these are difficult to implement or require massive data servers and advanced coding skills. Nevertheless, there are some clear indicators that can help identify bot-like accounts without the need for complex algorithms or data collection. The more of these signs an account displays, the more likely it is to be inauthentic.

How to Identify Bots and Malware Connections Using Advanced Tools

If a user visits your website or app frequently but doesn’t spend much time on each page, they are likely to be a bot. Likewise, if an account has rapid and repeated page reloads, this is also likely indicative of a bot.

Device fingerprinting

Identifying bots and malware connections requires sophisticated techniques that use multiple layers of defence to prevent bad bots from exploiting your business. These include user behaviour analysis, IP analysis, device fingerprinting, CAPTCHA challenges and machine learning algorithms to accurately detect and identify bots and other automated programmes across your digital ecosystem. Our comprehensive suite of bot detection and mitigation tools identifies and scores IP addresses and devices in real-time to protect against bots creating fake accounts, submitting false charges, scraping and crawling your website and apps and other forms of malicious abuse.